Position Details
About this role
This role involves developing and deploying AI/ML components for finance products using modern LLM and ML technologies. The engineer will focus on building scalable, reliable AI solutions integrated with APIs and cloud platforms.
Key Responsibilities
- Build and deploy AI/ML components
- Implement prompt engineering and RAG pipelines
- Develop data pipelines and backend services
- Integrate AI with APIs and data platforms
- Support experimentation and system reliability
Technical Overview
The technical environment includes Python, SQL, Docker, Kubernetes, AI frameworks, and large language models like GPT, Claude, Gemini, and Llama. The role emphasizes containerized deployment, API integration, and AI pipeline development.
Ideal Candidate
The ideal candidate is a mid-level AI/ML engineer with strong Python and SQL skills, experience with large language models, prompt engineering, and container orchestration tools like Docker and Kubernetes. They should be familiar with deploying AI solutions in cloud environments and integrating APIs.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Python and SQL, No familiarity with Docker or Kubernetes, No experience with AI/ML frameworks or LLMs
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